class_docstr: The base class for a model.
  
  Attributes:
      model: Your model that takes some args, kwargs and returns an output.
          Must be callable.
      name: string identifier for the model. Lowercase letters and numbers.
          No spaces/special characters except dashes.
      description: String description of the model.
      tasks: List of supported task strings
      details: Dictionary of additional details about the model
code: def __call__(self, *args, **kwargs):
      return self.model(*args, **kwargs)
  
imports: from typing import List, Tuple, Dict
  from transformers import AutoModelForPreTraining, AutoTokenizer, AutoModelForSequenceClassification, AdamW
  from torch.utils.data import DataLoader, Subset
  from sentence_transformers import SentenceTransformer
  from functools import partial
  import os
  import torch
  import torch.nn.functional
  import pytorch_lightning
  from pytorch_lightning.callbacks.early_stopping import EarlyStopping
  from pytorch_lightning.utilities.memory import garbage_collection_cuda
label_desc: Use image node_id 2 for calling the BaseModel obj's underlying member method code with example usage: obj.__call__() and returns: self